The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
text: string
label: string
label, text: null
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 478
to
{'label, text': {}}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
return get_rows(
^^^^^^^^^
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2431, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1952, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1984, in _iter_arrow
pa_table = cast_table_to_features(pa_table, self.features)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2192, in cast_table_to_features
raise CastError(
datasets.table.CastError: Couldn't cast
text: string
label: string
label, text: null
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 478
to
{'label, text': {}}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Dataset Card for test-dataset
Dataset Details
Dataset Description
A collection of labeled examples for training and evaluating machine learning models.
- Curated by: Ruihao
- Language(s): en
- License: cc-by-4.0
- Size of the dataset: 31 train, 3 validation, 3 test
Dataset Structure
Data Instances
Examples are provided in the training set with the fields specified in the Data Fields section.
Data Fields
The dataset contains the following fields: label, text.
Data Splits
| Split | Size |
|---|---|
| train | 31 |
| validation | 3 |
| test | 3 |
Dataset Creation
Curation Rationale
This dataset was created to provide labeled examples for training machine learning models. It includes diverse examples to ensure good model generalization.
Source Data
Data Collection and Processing
The data was collected and processed to ensure quality and consistency. Examples were verified for correctness and filtered to remove duplicates.
Who are the source data producers?
The data was curated by Ruihao.
Annotations
The dataset includes manual annotations for labels. Each example has been labeled by domain experts.
Uses
Direct Use
This dataset can be used for training supervised machine learning models, benchmarking model performance, and conducting NLP research.
Out-of-Scope Use
The dataset should not be used for purposes that could cause harm, such as discriminatory profiling or surveillance. Commercial use requires appropriate licensing.
Distribution
This dataset is distributed via Hugging Face Hub, making it easily accessible to the research community.
Maintenance
The dataset is maintained and regularly updated with new examples and improvements based on user feedback.
Dataset Card Contact
For questions or concerns about this dataset, please contact: Ruihao
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